Senior Software Engineer

When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future. Summary: In this role, you will design and build scalable backend systems, cloud infrastructure, and platform capabilities that power AI/ML products and applications. You will partner closely with AI/ML engineers, data scientists, and cross-functional teams to productionize LLM applications, RAG pipelines, and agentic AI workflows. You will leverage modern cloud technologies, infrastructure-as-code practices, and AI-assisted development tools to deliver reliable, secure, and maintainable solutions that accelerate innovation across the AI/ML team while helping establish engineering standards, reusable platform patterns, and operational best practices. Responsibilities: Design, develop, and maintain backend services, APIs, and platform components that support AI/ML applications and distributed systems. Build scalable cloud infrastructure using Pulumi and modern infrastructure-as-code practices while developing CI/CD pipelines, deployment [... source excerpt omitted ...] containerized cloud environments. Support production deployment of ML models, LLM applications, RAG pipelines, and agentic AI systems while collaborating with AI/ML engineers to productionize model serving, inference pipelines, and data workflows. Enhance observability through monitoring, logging, tracing, alerting, and incident management practices to improve operational reliability and system performance. Implement engineering standards for testing, code quality, security, maintainability, scalability, latency optimization, and cost efficiency. Define reusable platform patterns, developer tooling, and engineering workflows that improve developer productivity and operational [... source excerpt omitted ...] , AI-assisted development tools, and modern software practices to drive continuous improvement and innovation. Partner with product, security, data, and platform teams to deliver production-ready AI solutions while contributing to architectural discussions and long-term platform strategy. Troubleshoot complex production issues, perform root cause analysis, and drive remediation efforts to improve system stability and reliability. Mentor engineers through technical collaboration, code reviews, knowledge sharing, and engineering best practices. Qualifications: Relevant degree preferred. 5 or more years of relevant experience required. Strong Python development experience with